RegSDC (version 0.4.0)

RegSDCromm: Regression-based SDC Tools - Random orthogonal matrix masking (ROMM)

Description

Implementation based on equations 11, 12 and 17 in the paper.

Usage

RegSDCromm(y, lambda = Inf, x = NULL, doSVD = FALSE, ensureIntercept = TRUE)

Arguments

y

Matrix of confidential variables

lambda

ROMM parameter

x

Matrix of non-confidential variables

doSVD

SVD when TRUE and QR when FALSE

ensureIntercept

Whether to ensure/include a constant term. Non-NULL x is subjected to EnsureIntercept

Value

Generated version of y

Details

doSVD has effect on decomposition of y. The exact behaviour of the method depends on the choice of the decomposition method because of the sequentially phenomenon mentioned in the paper. The similarity to the original data will tend to be highest for the first component. Input matrices are subjected to EnsureMatrix.

Examples

# NOT RUN {
x <- matrix(1:5, 5, 1)
y <- matrix(rnorm(15) + 1:15, 5, 3)

# Same as IPSO (RegSDCipso)
RegSDCromm(y, Inf, x)

# Close to IPSO
RegSDCromm(y, 100, x)

# Close to y
RegSDCromm(y, 0.001, x)
# }